Neurobiology and Artificial Intelligence

Medical, Social and Ethical Implications

Häftad, Engelska, 2026

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Neurobiology and Artificial Intelligence: Medical, Social, and Ethical Implications
explores the dynamic intersection of neurobiology and artificial intelligence (AI),
investigating the scientific, philosophical, and ethical implications of these rapidly
evolving fields. By blending cutting-edge research with thought-provoking discussions,
this book aims to make complex topics accessible to an interdisciplinary audience,
from researchers and upper graduate students eager to understand how AI and
neuroscience shape our understanding of intelligence, creativity, learning, and the
human condition.

Offers clear explanations of scientific and technical concepts
Emphasizes the societal and moral challenges posed by advancements in AI and neuroscience
Explores how neurobiology and AI influence each other and their broader impact on medicine, creativity, and human cognition

Produktinformation

Utgivningsdatum2026-02-19
Mått152 x 229 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor328
FörlagElsevier Science
ISBN9780443447280

Tillhör följande kategorier

Biovetenskap inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Luca Saba is Dean of School of Medicine at the University of Cagliari, full professor of Radiology and Chief of the Department of Radiology in the A.O.U. of Cagliari. Professor Saba’s research is focused on Multi-Detector-Row Computed Tomography, Magnetic Resonance, Ultrasound, Neuroradiology, and Diagnostic in Vascular Sciences. His works have achieved more than 700 high impact factor in notable peer-reviewed journals such as The New England Journal of Medicine, Lancet Neurology, Circulation Radiology, American Journal of Neuroradiology, Atherosclerosis, European Radiology. He has spoken over 150 times at national and international levels and won 22 scientific and extracurricular awards during his career. Dr Saba has presented more than 500 papers and posters in National and International Congress (RSNA, ESGAR, ECR, ISR, AOCR, AINR, JRS, SIRM, AINR). He has written 43 book-chapters and is Editor of 19 books in the field of Computed Tomography, Cardiovascular, Plastic Surgery, Gynecological Imaging and Neurodegenerative imaging.

1. Neurobiology and artificial intelligence: a brief history2. The neurobiology of intelligence3. Foundations of artificial intelligence4. Machine learning and artificial neural networks5. Visualizing the brain and its functioning6. The “black box”7. Different types of biological intelligence8. Learning9. Network medicine and artificial intelligence10. The coding of evolutionary processes, learning, and intelligence11. The neurobiology of addiction and artificial intelligence dependency12. The impact of artificial intelligence on human memory andintelligence13. Artificial intelligence and creativity: catalyst or constraint?14. Artificial intelligence and human relationships15. The inflation of scientific cycles16. The human–machine interface and neuroprosthetics17. The simulation of the human brain and artificial consciousness?18. Staying alive19. Toward a shared future: hybrid artificial intelligence20. Superintelligence and singularity: what rules?21. The concept of “humanity”22. Science and ethics: reflections on the future of humanity